Journal
2017 19TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON)
Volume -, Issue -, Pages -Publisher
IEEE
Keywords
nonlinear analysis; machine learning; fiber optic communications; spatial division multiplexing
Funding
- EPSRC [UNLOC EP/J017582/1]
- EU-FP7 INSPACE project [619732]
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We have developed a low complexity machine learning based nonlinear impairment equalization scheme and demonstrated its successful performance in SDM transmission links achieving compensation of both inter- and intra- channel Kerr-based nonlinear effects. The method operates in one sample per symbol and in one computational step. It is adaptive, i.e. it does not require a knowledge of system parameters, and it is scalable to different power levels and modulation formats. The method can be straightforwardly expanded to multi-channel systems and to any other type of nonlinear impairment.
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